Many of the advances in deep learning are driven by tech giants’ commercial applications and the data explosion they have generated over the past two decades. “NOvA, for example, uses a neural network inspired by the architecture of the GoogleNet,” Radovic says. “It improved the experiment in ways that otherwise could have only been achieved by collecting 30 percent more data.”
https://www6.slac.stanford.edu/news/2018-08-01-particle-physicists-team-ai-solve-toughest-science-problems.aspx